International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 128

Research Paper | Electronics & Communication Engineering | India | Volume 2 Issue 5, May 2013


Speech Enhancement Using Fast Adaptive Kalman Filtering Algorithm Along With Weighting Filter

Shaik Sami | P.Padmaja [2]


Abstract: The speech signal which is degraded by noise is improved by the technique called speech enhancement. For this purpose we use many filters such as conventional, Fast Adaptive, weighted filter, etc. conventional Kalman filter require calculating the parameters of AR (auto-regressive) model, and inverse matrix operation, which is non-adaptive. In this paper we proposed adaptive Kalman filter along with perceptual weighting filter which is used to eliminate the matrix operations, to reduce the calculating time and complexity. Perceptual weighting filter is based on masking characteristics of human auditory system and constantly updating the first value of state vector Z (n) in adaptive filtering which automatically amend the estimation of environmental noise by observation data. The simulation results show that the performance is improved compared to Conventional method


Keywords: Conventional Kalman filter, Speech enhancement, adaptive Kalman filter, Perceptual weighting filter


Edition: Volume 2 Issue 5, May 2013,


Pages: 390 - 393


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How to Cite this Article?

Shaik Sami, P.Padmaja, "Speech Enhancement Using Fast Adaptive Kalman Filtering Algorithm Along With Weighting Filter", International Journal of Science and Research (IJSR), Volume 2 Issue 5, May 2013, pp. 390-393, https://www.ijsr.net/get_abstract.php?paper_id=IJSRON20131042

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